Add explanation about loss function in case of several predictions
EgorBu opened this issue · 2 comments
EgorBu commented
chenzimin commented
Yes, when the algorithm predicts several lines, the minimal loss of all prediction will be chosen when calculating the average line error.
This is from the intuition that the user will only choose the most relevant answers and the rest does not really matter. As long as the number of predictions per files is limited to some small number, like outputting top 5 predictions.
I would add an explanation for loss function in case of multiline predictions. Thanks.